About

Shubham Agarwal is a highly skilled Software Engineer with over 7 years of relevant experience in the field. He is currently working as a Cloud Engineer/Solutions Architect, specializing in Azure and AWS services. Shubham's key skills include Virtual Machine, Storage Account, Virtual Network, Azure Active Directory, SQL Databases, App Services, Load Balancer, Cognitive Services, Key Vault, Application Gateway, EC2, ELB, Autoscaling and ELB, IAM, Elastic Beanstalk, CloudFront, CloudTrail, CloudWatch, CloudFormation, Config, Route-53, S3, VPC, RDS, SES, SNS, SQS, Storage Gateway, System Manager, Transit Gateway, Direct Connect, Terraform, ARM, Docker, ACR, Kubernetes, and Ansible. In addition to his expertise in cloud services and infrastructure as a code, Shubham is also proficient in C, Python, Assembly, and MATLAB programming languages. He has experience in machine learning, deep learning, and data mining, using tools such as Scikit-learn, Libra, and Keras. Shubham is a quick learner and passionate about new technologies, making him an asset to any team. Shubham has a Master's degree in Electrical, Electronic and Communications Engineering Technology/Technician from BIT. He has also taught assembly language programming and Microprocessor and microcontroller theory as a guest faculty at Delhi Institute of tool engineering(IPU), New Delhi. He has excellent time management, analytical, trouble-shooting, and problem-solving skills, making him a valuable team player. Shubham's past experience includes working as a Test Engineer at Ericsson and an Internship Trainee at ACG Consulting. He is currently working as a Software Engineer at GIIT Solutions, where he continues to apply his skills and expertise in cloud services and infrastructure as a code to deliver data-driven solutions that increase efficiency, accuracy, and utility of internal data processing. Shubham is also looking to use his knowledge in statistics to manage statistical learning machine and data-related solutions.